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Courses: Past Courses

The introductory session took place on July, 11th 2011. General announcements.

Courses in winter term 2011/2012
CourseOverviewMoodleLSFModulhandbuch
Information Systems 1OverviewLSFMHB
Information Systems 3OverviewLSFMHB
Artificial IntelligenceOverviewLSFMHB
Machine LearningOverviewLSFMHB
Image ProcessingOverviewLSF
Computational Methods in Internet EconomyOverviewLSF
Operating systems and networkingOverviewLSF
Hybride WertschöpfungOverviewLSF
Seminar Information SystemsOverview
BSc-Seminar: Business Intelligence, Artificial Intelligence and Machine LearningOverviewLSFMHB
MSc-Seminar: Business Intelligence, Artificial Intelligence and Machine Learning: Web MiningOverviewLSFMHB
BSc-Project: Business Intelligence and Information SystemsOverviewLSF
MSc-Project: Advanced Machine Learning and Business AnalyticsOverviewLSFMHB
Oberseminar Machine Learning and Artificial IntelligenceOverviewLSF


Courses in summer term 2011

The introductory session took place on Januar, 31st 2011. General announcements and slides for the MIR-Masterseminar are available.

CourseOverviewMoodleLSFModulhandbuch
Information Systems 2OverviewMoodleLSFMHB
Information Systems 4OverviewMoodleLSFMHB
Business IntelligenceOverviewMoodleLSFMHB
Advanced Topics in Machine LearningOverviewMoodleLSFMHB
Business AnalyticsOverviewMoodleLSFMHB
BSc-Seminar: Business Intelligence, Artificial Intelligence and Machine Learning: Web MiningOverviewLSFMHB
MSc-Seminar: Artificial Intelligence and Machine Learning: Multimedia Information RetrievalOverviewLSFMHB
Project: Artificial Intelligence and Machine LearningOverviewLSFMHB
OberseminarOverviewLSF

Courses in summer term 20111
CourseOverviewMoodleLSFModulhandbuch
Information Systems 1OverviewMoodleLSFMHB
Information Systems 3OverviewMoodleLSFMHB
Artificial IntelligenceOverviewMoodleLSFMHB
Machine LearningOverviewMoodleLSFMHB
Analysis of Spatial DataOverviewMoodleLSFMHB
MSc-Seminar: Artificial Intelligence and Machine LearningOverviewMoodleLSFMHB
BSc-Seminar: Business IntelligenceOverviewMoodleLSFMHB
BSc-Project: Business IntelligenceOverviewMoodleLSF
MSc-Project: Machine Learning and Artificial IntelligenceOverviewMoodleLSFMHB
OberseminarOverviewMoodleLSF


Courses in summer term 2010 Courses in winter term 2009/2010:
Courses in summer term 2009:
Courses in winter term 2008/2009:
Courses in summer term 2008:
Courses in winter term 2007/2008:
Business Administration 1 (Monday 16-18, H2):
...[more]
Tutorials for Business Administration 1 (different times and locations):
...[more]
Introduction to Information Systems 1 (Wed. 18:00-19:30, B25 Spl; jointly with K. Althoff, A. Bentz, K. Förster, F. Hahne and K. Schmid)
...[more]
Bayesian Networks (Monday 16-18, B126 Spl; Wednesday 10-11, C213 Spl):
...[more]
Tutorial for Bayesian Networks (Wednesday 11-12, C213 Spl):
...[more]
Machine Learning (Monday 10-12, B26 Spl; Thursday 10-11, C213 Spl):
... [more]
Tutorial for Machine Learning (Thursday 11-12, C213 Spl):
... [more]
Bachelor Seminar on Artificial Intelligence (Wednesday 14-16, C213 Spl):
...[more]
Master Seminar on Fraud Detection (Wednesday 16-18, C213 Spl):
...[more]
Oberseminar on Data Mining (Wednesday 18-20, C213 Spl):
...[more]
Computer Science Colloquium (Monday 18-20, A102 Spl):

Courses in Summer term 2007:
Artificial Intelligence (Tuesday 08-10, A9 Spl):
...[more]
XML and Semantic Web Technologies (Tuesday 10-12, A9 Spl):
...[more]
Seminar Text Mining (Wednesday 14-16, B25 Spl)::
...[more]

Past courses in winter term 2006/7:
Lecture Machine Learning (Tue. 10-12 and Wed. 10-11, B26 and B25):
Although many tedious tasks can be automated by modelling the behavior of a (computer) system manually, many problems require that a system can adapt its reponses based on feedback on former actions, i.e., learn how to act in a better way in the future. Other tasks are just too large-scale for humans to overview, so help from computers is needed. Machine Learning addresses these types of problems. ... [more]
Tutorial for Machine Learning (Wed. 11-12, B25):
... [more]
Oberseminar Machine Learning and Data Mining (room and schedule to be announced):
The oberseminar is targeted to students writing their Bachelor or Master thesis at ISMLL and aims at presentations of thesis topics, discussion of preliminary ideas and problems, as well as dissemination of thesis results. ... [more]

Past courses in summer term 2006:
Special course on XML and Semantic Web-Technologies / engl. (Tuesday 11-13 and Thursday 11-12, SR 01-009/13, Geb. 101):
The Extensible Markup Language (XML), a W3C standard since 1998, allows the uniform representation of semistructured documents and data, readable for humans as well as for machines. XML is used as universal data and document format throughout all application areas of computer science. While XML describes syntax, the resource description framework (RDF) and the web ontology language (OWL) can code the semantics, i.e., meaning in a formal way, so that it can be processed automatically, e.g., for inferring knowledge from several facts or more generally answering complex queries. ... [more]
Übung/Tutorial for XML and Semantic Web-Technologies (Thursday 11-13, Room 00-029, Building 82):
... [more]
Seminar Text Mining and Ontology Learning (Tue. 14-16, HS 01-018, Geb. 101):
This seminar aims at presenting a broad overview of methods for dealing with texts. It addresses basic problems of natural language processing as distingushing between different meanings of the same word and spotting references to the same entities as well as complex tasks such as learning taxonomic or generic relationsships between entities and learning ontologies from texts. ...[more]
Oberseminar Data Mining and Internet Technologies (OS) (Tuesday 16-18, SR 01-009/13, Geb. 101):
The oberseminar is targeted to Master and Diploma students at Computer Based New Media group and aims at presentations of thesis topics, discussion of preliminary ideas and problems, as well as dissemination of thesis results. ... [more]

Past courses in winter term 2005/2006:
Special course on Advanced Artifical Intelligence Techniques (jointly with Wolfram Burgard, Bernhard Nebel and Luc de Raedt; Tue. 16-18, Fri. 9-10, HS 00-036, Geb. 101):
This course covers some of the topics that are left out or are only scratched on the surface in the "Foundations of Artificial Intelligence" course, namely modelling and reasoning with Bayesian networks, probabilistic approaches to natural language understanding, probabilistic approaches in robotics, and game-theoretic approaches to multi-agent systems. Each of these topics will be covered in roughly four weeks. ...[more]
Übungen/Tutorial for Special course on Advanced Artifical Intelligence Techniques (Alexander Scivos, Niels Landwehr, Karen Tso; Fri. 10-11, HS 00-036, Geb. 101):
[more]
Praktikum/Project XML and Semantic Web Technologies (irregularily; Wed. 14-18, SR 01-016, Geb. 101):
The praktikum allows students to gain practical knowledge and capabilities in the usage of XML and semantic web technologies (XML, XML Schema, XSLT, XQuery, RDF, RDFS, OWL, query languages and inferencing) in different application scenarios. ... [more]
Oberseminar Data Mining and Internet-Applications (Tue. 18-19, SR 01-016, Geb. 101):
The oberseminar is targeted to Master and Diploma students at Computer Based New Media group and aims at presentations of thesis topics, discussion of preliminary ideas and problems, as well as dissemination of thesis results. ... [more]

Past courses in summer term 2005:

Special course on XML and Semantic Web-Technologies / engl. (Tuesday 11-13 and Thursday 14-15, SR 00-007, Geb. 106):
The Extensible Markup Language (XML), a W3C standard since 1998, allows the uniform representation of semistructured documents and data, readable for humans as well as for machines. XML is used as universal data and document format throughout all application areas of computer science. While XML describes syntax, the resource description framework (RDF) and the web ontology language (OWL) can code the semantics, i.e., meaning in a formal way, so that it can be processed automatically, e.g., for inferring knowledge from several facts or more generally answering complex queries. ... [more]
Übung/Tutorial for XML and Semantic Web-Technologies (Tuesday 15-16, SR 00-007, Geb. 106):
... [more]
Seminar Predictive Modelling (S) (Tuesday 14-16, SR 00-007, Geb. 106):
Predictive modelling (aka supervised learning or classification / regression) is the key approach for automating tasks by learning from examples. By means of a predictive model as e.g., a decision tree, a neural network or a support vector machine, a property can be inferred from other properties or some decision be made based on some information. Applications are abundant, as, e.g., automatically detecting spam emails, predicting consumer choices, translating speech signals to text etc. ... [more]
Oberseminar Data Mining and Internet Technologies (OS) (Tuesday 16-18, SR 00-007, Geb. 106):
The oberseminar is targeted to Master and Diploma students at Computer Based New Media group and aims at presentations of thesis topics, discussion of preliminary ideas and problems, as well as dissemination of thesis results. ... [more]

Past courses in winter term 2004/2005:

Special course on Advanced Artifical Intelligence Techniques (jointly with Wolfram Burgard, Bernhard Nebel and Luc de Raedt; Tue. 16-18, Thur. 14-16, HS 00-036, Geb. 101):
This course covers some of the topics that are left out or are only scratched on the surface in the "Foundations of Artificial Intelligence" course, namely modelling and reasoning with Bayesian networks, probabilistic approaches to natural language understanding, probabilistic approaches in robotics, and game-theoretic approaches to multi-agent systems. Each of these topics will be covered in roughly four weeks. ... [more]
Praktikum XML and Semantic Web Technologies (irregularily; Wed. 14-18, SR 01-016, Geb. 101):
The praktikum allows students to gain practical knowledge and capabilities in the usage of XML and semantic web technologies (XML, XML Schema, XSLT, XQuery, RDF, RDFS, OWL, query languages and inferencing) in different application scenarios. ... [more]
Oberseminar Data Mining and Internet-Applications (Wed. 18-19, SR 01-016, Geb. 101):
The oberseminar is targeted to Master and Diploma students at Computer Based New Media group and aims at presentations of thesis topics, discussion of preliminary ideas and problems, as well as dissemination of thesis results. "Lurkers" are welcome after prior request for participation. ... [more]

Past courses in summer term 2004:

Special course on XML and Semantic Technologies (Wednesday 11-13, SR 01-018, Geb. 101):
The Extensible Markup Language (XML), a W3C standard since 1998, allows the uniform representation of semistructured documents and data, readable for humans as well as for machines. XML is used as universal data and document format throughout all application areas of computer science. While XML describes syntax, the resource description framework (RDF) and the web ontology language (OWL) can code the semantics, i.e., meaning in a formal way, so that it can be processed automatically, e.g., for inferring knowledge from several facts or more generally answering complex queries. ... [more]
Seminar on Recommender Systems (Wednesday 14-16, SR 01-018, Geb. 101):
Recommender Systems are an intelligent access technology to large information systems as online catalogs in e-commerce or digital libraries and have been identified as one of the key technologies for e-commcerce. Recommender systems try to recommend users items that are of specific interest for them, based on user profiles of an online community build from explicit ratings of products or implicit usage information. Recommender systems may be as simple and ubiquitous as Amazons "who bought this, also bought that" crosslinks, and they may be rather complex knowledge and data driven systems aiming at modelling human counselors. ... [more]
Oberseminar on Data Mining and Internet Applications (Wednesday 17-18, Raum 00-010, Geb. 101):
The oberseminar is targeted to Master and Diploma students at Computer Based New Media group and aims at presentations of thesis topics, discussion of preliminary ideas and problems, as well as dissemination of thesis results. "Lurkers" are welcome after prior request for participation. ... [more]

Past courses in winter term 2003/2004:

Special course on Bayesian Networks (Wednesday 11-13, SR 01-018, Geb. 101):
Bayesian networks are a flexible class of models of data mining (but also of applied statistics). They can be used to capture the probabilistic dependency of variables and - contrary to pure prediction models as, e.g., decision trees - to predict varying and compound target variables. A bayesian net represents dependencies of variables by means of a graph and the exact quantities by probability tables. ... [more]
Seminar on Spam (Wednesday 14-16, SR 01-018, Geb. 101):
Spam or unsolicited bulk email is both, a nuisance for users who are flooded with advertising messages, and an interesting and evolving problem for the design of messaging services on the technical side as well as text classification on the methodological side. In the last two years the amount of spam came up to a level that enforced most of non-casual users to use some kind of automatic spam filtering. Since the first Spam conference in Stanford in spring 2003, interest in this topic increased even more in the scientific community. ... [more]

Past courses at University of Karlsruhe (until summer term 2003):

Course on Electronic Business (SS 2003, 2002, 2001, 2000)
Course on Web Mining (WS 2002/2003, 2001/2002, 2000/2001, 1999/2000)